Helicopter Hover Controller Learning

In this work, two methods are adopted and compared to learn a helicopter hover controller subjected to control input delay and noise in state estimate: neural network hover controller described in [Ng, Kim, Jordon, & Sastry, 2003], and the cross entropy algorithm described in previous work.

The controller was capable to work with noise and latency to certain manner. The best performance was shown below:

Kss

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: